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[Submitted on 5 Nov 2026] Title: Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP View a PDF of the paper titled Forcing a Letter Suppresses Refusal: Mechanistic Evidence from WMDP, by Stepan Epifantsev and 4 other authors View PDF HTML (experimental) Abstract: Safety benchmarks for large language models (LLMs) commonly use…
Knowledge: We continue our series about recursive self-improvement. Learning Loop: We dive into GPT-6 Cyber and the new Thinking Machines and Gemini models.
← AI News AI News Inkling 2 Small: 17A-594B trained in 68 hours on 12T tokens, beating Muse Spark November 5, 2026 — Inside Inkling 2 Small’s training run and METR’s study of AI research at Anthropic. Build AI systems with context graphs and agentic memory.
← AI News AI News It's Swapping Season November 4, 2026 — OpenAI’s Linux kernel security work, Kimi K3.1 Pro’s open weights, and Ricursive’s Ripple-65B. As much as there are headlines about changing sides all over the timeline today, there have been major moves in AI as well: OpenAI's Autonomous Cyber Pipeline Patches 948 Linux Kernel Privilege-Escalation…
[Submitted on 30 Jul 2026] Title: DS@GT ARC at CheckThat! 2026: A Verdict-Anchored Pipeline for Generating Fact-Checking Articles View a PDF of the paper titled DS@GT ARC at CheckThat!
← AI News AI News Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai November 3, 2026 — A quiet day lets us share some behind the senes. There’s a lot of dispute to yesterday’s title story on “ Weight Space Programming ” — and we agree that some of the claims are presented in overly favorable light and overall took away from the impact of…
On July 30, 2026, Transformers enabled PyTorch's scaled dot-product attention (SDPA) for T5. As a side effect, UMT5's decoder could attend to future tokens.
← AI News AI News LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark. Abstractly, the demonstration is that you can take a sufficiently smart model and through running a series of experiments…
← AI News AI News Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming?
← AI News AI News Building AIE CODE: The top Coding Agent Conference Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps. CODE is the last flagship AIE of the year (there are also 2 partner conferences coming up - AIEi Shanghai takes place next week, and AIEi Sydney is a side event of NeurIPS in December).
Mistral Large 4 (aka Le Chonk) is a multimodal, multilingual, Mixture-of-Experts (MoE) model from Mistral. It takes text and images as input and generates text.
Language models can do a lot. They write, summarize, translate, and call tools.
← AI News AI News Gemini 4 Carbon tops leaderboards, launches for cyber defenders Google’s new frontier model leads independent evals, with access initially limited to trusted defenders. It’s a good thing we published our Opus 5.5 podcast calling it the world’s best model before today’s launch.
← AI News AI News Anthropic ends Coding Interviews: "Hunger beats tenure" Since coding is solved, why code for the job? This month, I laid the traditional coding interview to rest.
LFM3 is our new generation of Liquid Foundation Models (LFMs), built to be the starting point for specialized intelligence. It brings text, vision, audio, omni, and decision models onto one shared backbone, all in the 2B parameter range.
We continue our series about recursive self-improvement. We dive into DeepSeek’s inference stack, Google’s new agentic VM platform and more.
Almost 2 months ago, OpenAI introduced Daybreak for Frontline Defenders , a $1B subsidy for access to Daybreak cyber models and products. That funding came into use almost immediately, as major vulnerabilities in PHP were independently discovered by two parties: Ryan Austin, a researcher at the security firm Calif, as part of the OpenAI “ Patch the Planet…
← AI News AI News Black October the Cyber onslaught continues. If you are reading this, you’re receiving this from our new provider, Beehiiv!
In the Wild What's trending in AI right now, from the app charts to the community feeds. The full roundup is in In the Wild .
Almost 2 months ago, OpenAI introduced Daybreak for Frontline Defenders , a $1B subsidy for access to Daybreak cyber models and products. That funding came into use almost immediately, as major vulnerabilities in PHP were independently discovered by two parties: Ryan Austin, a researcher at the security firm Calif, as part of the OpenAI “ Patch the Planet…
Models specialized for a domain or a task by fine-tuning general open-source models, such as Qwen and Gemma, inherit a vocabulary built for many domains and general applications. In an essay grader we run in production, that vocabulary split the text the model writes most into many tokens.
We're excited to share three updates to IBM's Granite Speech collection: a new speech-language model, granite-speech-5.0-2b , and revised versions of two models the community already uses, granite-speech-5.0-470m-turboctc and granite-speech-4.1-2b-plus . Together they cover the full range of enterprise speech work: transcription and translation with high…
Artificial Domain Intelligence Artificial Domain Intelligence is an approach to making physical machines intelligent and capable within the thing they are built to do (their domain). A machine measures what it just produced, determines what was wrong with it, corrects itself, and accepts spoken instruction from the person using it.
📄 Tech Report | 🤗 Data | 💻 Code Today we’re introducing FairStress , a benchmark for measuring demographic fairness in LLMs beyond the choice a model ultimately makes in decisions impacting people. FairStress is available for download, and we’re also building it into Olmo-eval , our open workbench for running and comparing model evaluations.
Last November, we introduced AnyLanguageModel on this blog: a drop-in replacement for Apple's Foundation Models framework that lets you choose the model and provider your app uses. We heard from app developers who were curious about local models but weren't always sure how to get started.